Building the Data Science Center of Excellence at Comcast

On Demand

Featured Presenter: Venkat Gunnu, Senior Director, Data Science & Innovation at Comcast

Data science is transforming business and generating new value across the organization. Data science still often requires dedicated technology and sophisticated teams to execute successfully. As departments work to address today’s wide range of competitive, regulatory, and operational challenges, it is easy to overlook a critical issue that many of their most complex challenges have in common: nearly all of them either are rooted in or exacerbated by ML tooling, ML Model governance issues (Bias and fairness), and training, including shortcomings in data access, data quality, or both. Data Science center of excellence (CoE) can be a centralized group that centers on a discipline’s vision, governance, technique, and framework. This is especially helpful for data science because of the specialty abilities and innovation the discipline requires. Data Science center of excellence (CoE) can improve efficiency and stability in maintaining and delivering business-critical data improved decision-making through fairness and unbiased models with adequate compliance and regulatory needs. Join this presentation to learn how Comcast built its Data Science CoE, challenges associated, insights and lessons learned, as well as how they’re looking to the future with an innovative spirit.

About Enterprise Data & AI:

The Enterprise Data & AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the enterprise data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related and AI.

Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​

Agenda:

  • 11:30-12:30pm: Featured Presentation
  • 12:30-13:00pm: Your Q&A and interaction

Featured Presenters

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